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Insights Into the Bovine Milk Microbiota in Dairy Farms With Different Incidence Rates of Subclinical Mastitis

文献类型： 外文期刊

作者： Pang, Maoda 1 ; Xie, Xing 2 ; Bao, Hongduo 1 ; Sun, Lichang 1 ; He, Tao 1 ; Zhao, Hang 1 ; Zhou, Yan 1 ; Zhang, Lili 1 ; Zha 1 ;

作者机构： 1.Jiangsu Acad Agr Sci, Inst Food Safety & Nutr,Jiangsu Key Lab Food Qual, Key Lab Control Technol & Stand Agroprod Safety &, State Key Lab Cultivat Base,Minist Sci & Technol, Nanjing, Jiangsu, Peoples R China

2.Jiangsu Acad Agr Sci, Inst Vet Med, Key Lab Vet Biol Engn & Technol, Minist Agr, Nanjing, Jiangsu, Peoples R China

3.Yangzhou Univ, Coll Anim Sci & Technol, Key Lab Anim Genet Breeding Reprod & Mol Design J, Yangzhou, Jiangsu, Peoples R China

关键词： milk microbiota; 16S rRNA gene sequencing; bovine mastitis; IRSCM; mastitis-causing pathogens

期刊名称：FRONTIERS IN MICROBIOLOGY （ 影响因子：5.64； 五年影响因子：6.32 ）

ISSN： 1664-302X

年卷期： 2018 年 9 卷

页码：

收录情况： SCI

摘要： Bovine mastitis continues to be a complex disease associated with significant economic loss in dairy industries worldwide. The incidence rate of subclinical mastitis (IRSCM) can show substantial variation among different farms; however, the milk microbiota, which have a direct influence on bovine mammary gland health, have never been associated with the IRSCM. Here, we aimed to use high-throughput DNA sequencing to describe the milk microbiota from two dairy farms with different IRSCMs and to identify the predominant mastitis pathogens along with commensal or potential beneficial bacteria. Our study showed that Klebsiella, Escherichia-Shigella, and Streptococcus were the mastitis-causing pathogens in farm A (with a lower IRSCM), while Streptococcus and Corynebacterium were the mastitis-causing pathogens in farm B (with a higher IRSCM). The relative abundance of all pathogens in farm B (22.12%) was higher than that in farm A (9.82%). However, the genus Bacillus was more prevalent in farm A. These results may be helpful for explaining the lower IRSCM in farm A. Additionally, the gut-associated genera Prevotella, Ruminococcus, Bacteroides, Rikenella, and Alistipes were prevalent in all milk samples, suggesting gut bacteria can be one of the predominant microbial contamination in milk. Moreover, Listeria monocytogenes (a foodborne pathogen) was found to be prevalent in farm A, even though it had a lower IRSCM. Overall, our study showed complex diversity between the milk microbiota in dairy farms with different IRSCMs. This suggests that variation in IRSCMs may not only be determined by the heterogeneity and prevalence of mastitis-causing pathogens but also be associated with potential beneficial bacteria. In the future, milk microbiota should be considered in bovine mammary gland health management. This would be helpful for both the establishment of a targeted mastitis control system and the control of the safety and quality of dairy products.

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